Skip to the content

Can models fitted to small data samples lead to maintenance policies with near-optimum cost?

Baker, RD and Scarf, PA 1995, 'Can models fitted to small data samples lead to maintenance policies with near-optimum cost?' , IMA Journal of Management Mathematics, 6 (1) , pp. 3-12.

[img] PDF - Published Version
Restricted to Repository staff only

Download (1210kB) | Request a copy

    Abstract

    In a general context of maintenance modelling, the excess cost of operating at the estimated optimum value of some decision variable (as opposed to the true unknown optimum) is related to the sample size of the dataset available for modelling. Although large sample sizes are required to estimate the optimum value of a decision variable to a high accuracy, it is shown that the cost which is optimised can be reduced to near its true minimum value even for small sample sizes. In fact, the expectation of the excess cost is inversely proportional to sample size. This implies that even modest sample sizes would be sufficient for the practical use of sensible models for determining cost-based maintenance policies. An example relating to a simple model for determining the optimum inspection interval for a repairable system illustrates these ideas. In particular, some results on the maintenance of medical equipment are presented.

    Item Type: Article
    Themes: Energy
    Schools: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
    Journal or Publication Title: IMA Journal of Management Mathematics
    Publisher: Oxford University Press
    Refereed: Yes
    ISSN: 1471-678X
    Depositing User: Dr Philip Scarf
    Date Deposited: 07 Oct 2011 10:47
    Last Modified: 20 Aug 2013 18:12
    URI: http://usir.salford.ac.uk/id/eprint/18008

    Document Downloads

    More statistics for this item...

    Actions (login required)

    Edit record (repository staff only)